I am trying to write a postgres query which returns max, min, median, first and last values in a group along with the timestamp column for each aggregate value
Table
Id Timestamp_utc Value
1 2020-11-05 15:36:15.768388 10
1 2020-11-05 15:40:15.768388 20
1 2020-11-05 15:44:15.768388 30
1 2020-11-05 15:45:15.768388. 5
1 2020-11-05 15:59:15.768388 25
1 2020-11-05 16:59:15.768388 25
Expected Result
Id Median Median_Timestamp Min Min_Timestamp Max Max_TimeStamp
1 17.5. 15:44:15.768388 5 2020-11-05 15:45:15.768388 30 2020-11-05 15:44:15.768388
I have this query which groups data doesn't include the timestamp
SELECT Id, time_bucket('60', timestamp_utc) AS bucket,
percentile_cont(0.5) within group (order by value) median_value,
min(value) min_value,
max(value) max_value
FROM rs.MyTable
WHERE id IN ( 1111,123)
AND timestamp_utc Between '2020-11-05 10:00:15.748643' and '2020-11-05 16:35:48.750313'
GROUP BY id, bucket
ORDER BY id, bucket
Is there a way I could get timestamp column as well for the aggregated value like timestamp_utc col data when the value is maximum?
One option uses window functions in a subquery to rank the timestamps by increasing and descending value
, then conditional aggregation in the outer query to bring the relevant values
select id, bucket,
percentile_cont(0.5) within group (order by value) median_value,
min(value) min_value,
max(timestamp_utc) filter(where rn_asc = 1) min_timestamp,
max(value) max_value,
max(timestamp_utc) filter(where rn_desc = 1) max_timestamp
from (
select t.*,
row_number() over(partition by id, bucket order by value) rn_asc,
row_number() over(partition by id, bucket order by value desc) rn_desc
from (
select t.*, time_bucket('60', timestamp_utc) as bucket
from rs.mytable t
where
id in (1111,123)
and timestamp_utc between '2020-11-05 10:00:15.748643'::timestamp
and '2020-11-05 16:35:48.750313'::timestamp
) t
) t
group by id, bucket
order by id, bucket
Note that we need to compute the bucket first, and put it in the partition of the window function.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.